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Contact

Language Skills

R
RMarkdown
R Shiny
Python
UNIX
SQL
Docker
Git

Open Source Contributions

All projects available at github.com/aarizvi/<name>

More info

See full CV at abbasrizvi.com for more complete list of positions and publications.

Disclaimer

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Source code: github.com/aarizvi/cv.

Last updated on 2020-08-05.

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Abbas Rizvi, PhD

I am a PhD data scientist and computational biologist. I have strong experience doing data science end to end. From data retreival, to data preparation (tidying, reshaping), to exploratory data analysis (visualizations, descriptive statistics), to predictive modeling (machine learning/statistical modeling), to packaging and deployment (using docker as http web services or cloud deployment). I have a strong knowledge base of molecular, cell biology, genetics, and bioinformatics. I am deeply experienced with the R programming language and given talks at Bioconductor and useR on my open source contributions.

Education

PhD., Pharmaceutical Sciences

The Ohio State University

Columbus, OH

2019 - 2015

  • Dissertation: Genetic Associations in Acute Leukemia Patients after Matched Unrelated Donor Allogeneic Hematopoietic Stem Cell Transplantation

MS., Cancer Biology

State University of New York at Buffalo

Buffalo, NY

2015 - 2013

  • Thesis: Reprogramming androgen receptor and lysine-specific demethylase 1 transcriptome in castration-resistant prostate cancer

MSc, Integrated Systems Biology

Universite du Luxembourg

Luxembourg, Luxembourg

2015 - 2013

  • Interdiscplinary EU-US Atlantis Program

Selected Positions

Data Scientist

Covail

Columbus, OH

Present - 2018

  • Built custom solutions for Fortune 500 companies. Solutions had ROIs in hundreds of thousands of dollars.
  • Built, developed, deployed models from data acquisition to production. Wrote an R package (usethis, devtools, testthat) for every single project I’ve worked on. Created plumber API webservices for many models.
  • Projects included building custom machine learning models in areas of: predictive staffing in hospitals, anomaly detection in warehouse supply chain, continuous auditing of insurance agent commisions, detecting anomalies of substation communication for electric power grids, predicting code violations in government R&D laboratories, creating a matching algorithm for complex library cataloging system
  • AWS, GCP, Docker, Natural Language Processing, Deep Learning (TensorFlow, PyTorch), Neural Networks

Graduate Research Associate

Sucheston-Campbell Lab, The Ohio State University

Columbus, OH

2019 - 2015

  • PhD research project application was probing for genetic associations in leukemia patients (and their donors) after they received a bone marrow transplant.
  • Built statistical models and software solutions on genome wide association study data. Genetic imputation (IMPUTE2, Sanger/Michigan servers). Association testing. Survival Analysis. ENCODE, 1000 Genomes, UKBiobank, GTEX, TCGA. PheWAS.
  • Daily use of a compute cluster (SLURM), UNIX, shell, awk, bash, crontab
  • Published 2 first author publications and 7 total publications from this project.

Graduate Research Assistant

Foster Lab, Roswell Park Cancer Institute

Buffalo, NY

2015 - 2013

  • Masters research project was an interface between wet and dry lab.
  • Project characterized transcriptomics (RNA sequencing) of castration resistant prostate cancer in vitro and using The Cancer Genome Atlas.